Introduction : COVID-19?

In the early months of COVID-19, I followed the country-by-country’s number of confirmed cases, active cases, recovered cases to see if there is any interesting pattern emerging.
Some findings were very interesting to me at the time, but since, have become common knowledge to everyone, including:

Death rates in traditionally developed countries are way higher than in traditionally developing ones, the latter we would assume would have been so much more badly-hit. This is still largely true now, with Africa getting COVID under control very well.
Infection rates in less politically democratic states, or formally less democratic states (i was very interested in the former communist blocks) were significantly lower. However, I have noticed this is no longer true ;(.

Sadly, I had to temporarily abandon this project because of how time-consuming it was, and I, at that time, and now, still have no clue how to effectively mine the data automatically. Please let me know if you have a way to do it.
All data is from https://www.worldometers.info/coronavirus/

About the plot

In the space of this exercise, I will only plot a time-series graph of difference between the active cases & recovered cases over time (sadly, only from February to June 2020) because I think this number best reflects the severity of the situation and whether the country has the disease under control or not.
If active cases - recovered cases exhibits a downward trend, and eventually gets to negative, COVID is under control.
I also split the data into Region, as specified by the UN, to see which regions have been most effective.
As the USA, at the time of data collection, accounted for almost half of the world’s infected cases, I decided to take it out as a separate region, so as not to skew the data.
Hope you find this interesting. I’m done talking.